Peter D Farjo

612 citations
27 papers · 424 · h-index 8

Impact in

Papers in

Peter D Farjo

21 papers receiving 406 citations

Peers

Peter D Farjo
Comparison fields: 5 of 57
  • Health Informatics 97
  • Health Information Management 84
  • Cardiology and Cardiovascular Medicine 178
  • Radiology, Nuclear Medicine and Imaging 43
  • Endocrinology, Diabetes and Metabolism 17
Replace Khalil Anchouche with:
Khalil Anchouche United States
Karlijn A. Groenewegen Netherlands
Randy M. Foss United States
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Yuhe Ke Singapore
George Koulaouzidis United Kingdom
Soo Youn Lee South Korea
Mihir A Kelshiker United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Peter D Farjo

Since Specialization
Citations

This map shows the geographic impact of Peter D Farjo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter D Farjo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter D Farjo more than expected).

Fields of papers citing papers by Peter D Farjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter D Farjo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter D Farjo. The network helps show where Peter D Farjo may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter D Farjo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter D Farjo Line = papers co-authored together Peter D Farjo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019132
2 202078
3 201970
4 202044
5 202127
6 201613
7 201911
8 20198
9 20206
10 20195
11 20195
12 20255
13 20204
14 20203
15 20203
16 20203
17 20223
18 20171
19 20171
20 20241

About Peter D Farjo

Peter D Farjo is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, Health Informatics, Surgery and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 424 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (6 papers), Cardiac Arrhythmias and Treatments (3 papers), Artificial Intelligence in Healthcare (3 papers), Coronary Interventions and Diagnostics (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Machine Learning in Healthcare (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Health Informatics (97 citations), Health Information Management (84 citations), Cardiology and Cardiovascular Medicine (178 citations), Radiology, Nuclear Medicine and Imaging (43 citations) and Endocrinology, Diabetes and Metabolism (17 citations). Peter D Farjo has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Partho P. Sengupta, Nobuyuki Kagiyama, Sirish Shrestha, Christopher Michael Bianco, Naveena V. K. Yanamala, Karthik Seetharam, Grace Casaclang‐Verzosa, Negin Nezarat, Matthew Jay Budoff and Marco Piccirilli. Their work appears in journals such as Heart Rhythm, Journal of the American College of Cardiology, The American Journal of Cardiology, Journal of Thrombosis and Thrombolysis and Diabetes Care.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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